To test the generalizability of CnC on third-person videos and to ensure a fair comparison with existing methods [1]}, [2]}, [3]}, [4]}, [5]}, we perform experiments on third-person procedure learning benchmark datasets: ProceL [6]} and CrossTask [7]}. We obtain the results of previous works from [5]}. Note that here we use the evaluation protocol employed by the previous works [2]}, [6]}, [4]}, [5]}.
As seen in tab:tablethirdpersonresults, CnC outperforms other methods (in terms of the F-Score) utilizing only videos as the input modality.
Further, with only video as the input modality, CnC even manages to perform at par with multi-modal methods.
Previous works have used different forms of self-supervision.
For example, [2]} use the pseudo-labels provided by subset selection and [4]} utilize the relative time-stamps of video frames.
Instead, the comparison in tab:tablethirdpersonresults shows that the signal provided by corresponding frames is superior for the task of procedure learning.
